MultANOVA
1.1.0Analysis of Designed High-Dimensional Data using the Comprehensive MultANOVA Framework
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Overview
About
A comprehensive and computationally fast framework to analyze high dimensional data associated with an experimental design based on Multiple ANOVAs (MultANOVA). It includes testing the overall significance of terms in the model, post-hoc analyses of significant terms and variable selection. Details may be found in Mahieu, B., & Cariou, V. (2025). MultANOVA Followed by Post Hoc Analyses for Designed High‐Dimensional Data: A Comprehensive Framework That Outperforms ASCA, rMANOVA, and VASCA. Journal of Chemometrics, 39(7). doi:10.1002/cem.70039.
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- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
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- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 71%
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Also on83 r2u3 autocran
Dependencies
Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.5.0
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Package Timeline
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.1.0Latest
- 1.0.12026-03-10
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2025-09-01
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.5.0
- Bundled data
- 33 KB / 1 file
- Download size
- 47 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet